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search-in-rotated-sorted-array
5 files changed +152
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lines changed Original file line number Diff line number Diff line change
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+ /**
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+ * @description
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+ * memoization + dfs
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+ *
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+ * n = length of nums
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+ * p = length of prerequisites
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+ *
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+ * time complexity: O(n)
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+ * space complexity: O(p)
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+ */
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+ var canFinish = function ( numCourses , prerequisites ) {
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+ const memo = Array . from ( { length : numCourses + 1 } , ( ) => false ) ;
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+ const visited = Array . from ( { length : numCourses + 1 } , ( ) => false ) ;
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+ // graph setting
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+ const graph = prerequisites . reduce ( ( map , [ linkedNode , current ] ) => {
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+ const list = map . get ( current ) ?? [ ] ;
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+ list . push ( linkedNode ) ;
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+ map . set ( current , list ) ;
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+ return map ;
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+ } , new Map ( ) ) ;
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+
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+ const dfs = ( current ) => {
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+ const linkedNode = graph . get ( current ) ;
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+
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+ if ( memo [ current ] || ! linkedNode || linkedNode . length === 0 ) return true ;
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+
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+ for ( const node of linkedNode ) {
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+ if ( visited [ node ] ) return false ;
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+
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+ visited [ node ] = true ;
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+ if ( ! dfs ( node ) ) return false ;
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+ visited [ node ] = false ;
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+ memo [ node ] = true ;
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+ }
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+
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+ return true ;
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+ } ;
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+
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+ for ( const [ current ] of graph ) {
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+ visited [ current ] = true ;
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+ if ( ! dfs ( current ) ) return false ;
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+ visited [ current ] = false ;
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+ memo [ current ] = true ;
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+ }
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+
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+ return true ;
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+ } ;
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+ /**
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+ * @description
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+ * brainstorming:
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+ * preorder traverse
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+ *
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+ * n = length of root
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+ * time complexity: O(n)
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+ * space complexity: O(n)
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+ */
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+ var invertTree = function ( root ) {
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+ const preOrder = ( tree ) => {
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+ if ( tree === null ) return null ;
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+
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+ const currentNode = new TreeNode ( tree . val ) ;
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+
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+ currentNode . right = preOrder ( tree . left ) ;
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+ currentNode . left = preOrder ( tree . right ) ;
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+
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+ return currentNode ;
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+ } ;
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+
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+ return preOrder ( root ) ;
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+ } ;
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+ /**
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+ * @description
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+ *
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+ * n = length of nums
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+ * time complexity: O(n)
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+ * space complexity: O(1)
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+ */
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+ var canJump = function ( nums ) {
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+ let cur = 1 ;
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+ for ( const num of nums ) {
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+ if ( cur === 0 ) return false ;
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+ cur -- ;
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+ cur = cur > num ? cur : num ;
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+ }
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+
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+ return true ;
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+ } ;
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+ /**
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+ * @description
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+ * queue의 특성을 활용하여 풀이
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+ *
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+ * n = length of lists
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+ * m = length of lists[i]
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+ * time complexity: O(n * n * m)
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+ * space complexity: O(n*m)
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+ */
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+ var mergeKLists = function ( lists ) {
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+ let answer = null ;
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+ let tail = null ;
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+ let totalSize = lists . reduce ( ( size , list ) => {
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+ let head = list ;
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+ let count = 0 ;
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+
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+ while ( head ) {
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+ head = head . next ;
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+ count ++ ;
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+ }
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+
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+ return size + count ;
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+ } , 0 ) ;
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+
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+ while ( totalSize -- ) {
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+ let minIndex = lists . reduce ( ( acc , list , i ) => {
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+ if ( list === null ) return acc ;
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+ if ( acc === null ) return { value : list . val , index : i } ;
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+ return acc . value < list . val ? acc : { value : list . val , index : i } ;
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+ } , null ) . index ;
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+
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+ if ( answer === null ) {
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+ answer = lists [ minIndex ] ;
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+ tail = answer ;
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+ } else {
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+ tail . next = lists [ minIndex ] ;
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+ tail = lists [ minIndex ] ;
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+ }
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+
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+ lists [ minIndex ] = lists [ minIndex ] . next ;
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+ }
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+ return answer ;
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+ } ;
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+ /**
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+ * @description
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+ * https://leetcode.com/problems/find-minimum-in-rotated-sorted-array/description/
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+ * n = length of nums
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+ * time complexity: O(n)
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+ * space complexity: O(1)
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+ */
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+ var search = function ( nums , target ) {
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+ let [ start , end ] = [ 0 , nums . length - 1 ] ;
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+ let answer = - 1 ;
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+
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+ while ( start !== end ) {
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+ if ( nums [ start ] === target ) answer = start ;
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+ if ( nums [ end ] === target ) answer = end ;
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+ if ( nums [ start ] > nums [ end ] ) end -- ;
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+ else start ++ ;
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+ }
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+
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+ if ( nums [ start ] === target ) answer = start ;
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+
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+ return answer ;
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+ } ;
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